Our offerings
- Data Strategy- The Data Strategy guides the Data Office in its organization by defining the target and the pace needed to achieve its ambitions. The Onepoint collective supports you in building and operationalizing the defined strategy, ensuring alignment with your company’s challenges, maturity, and resources. 
- Data Governance- Among the key dimensions of this Data Strategy is Data Governance. Organizing the data assets is essential to secure and promote a reliable data offering. It is a crucial element for maintaining control over data and optimizing its use. 
- Data Management- As the true secret to the longevity of a Data ecosystem, the Data Office must ensure the effectiveness of its Data Management to guarantee sustainable data accessibility and control. To implement a tailored Data Management approach, Onepoint’s experts align business needs with technical and regulatory aspects, ensuring an efficient and long-lasting Data ecosystem. 
- Data Transformation- These considerations are essential for all Data projects, but they require a true change management approach involving all stakeholders, from operational teams to top management. Onepoint will also support you in defining and organizing awareness and training programs on the key pillars of Data Management. 
Case studies
As a key pillar of the banking sector, the institution needed to address multiple data-related challenges, including observability of French banks, global regulation, and transparency at all levels. To meet these demands, the company sought to establish a new global Data Platform and required support to define its purpose, objectives, trajectory, and the necessary resources to achieve its vision.
Solution
To align with the organization’s strategic needs, Onepoint assembled a multidisciplinary team comprising experts in Data Strategy, Data Management, and Data Governance, alongside technical specialists in Data Architecture, Data Engineering, and Data Analytics.
This synergy enabled Onepoint to develop a cohesive framework of use cases and objectives, working collaboratively with client teams to establish a realistic trajectory and action plan. Special attention was given to ensuring openness and flexibility in the strategy, recognizing that the evolving needs of a Data Platform cannot be entirely predefined before implementation.
Outcome
- Definition of the complete target Data Platform, incorporating a Data Lab, Data Factory, and Data Hub.
- A detailed roadmap outlining technological, organizational, and functional milestones, ensuring a progressive and efficient scale-up of the platform.
An energy company established its Data Office to leverage data in strengthening the decarbonization of its operations. To make this strategy fully operational, it was essential to define a structured operating model for Data Management.
Solution
Onepoint conducted a detailed analysis of operational processes to identify synergies between current activities and the deployment of the future Data Management operating model. This included:
- Mapping data governance structures, defining roles, responsibilities, and decision-making processes (comitology).
- Designing a deployment roadmap based on identified use cases to ensure strategic alignment.
Outcome
The project delivered a clear roadmap with quantitative and qualitative objectives for implementing the operating model. It also established structured processes, roles, and responsibilities, successfully deployed on an initial use case, and secured stakeholder commitment to the defined trajectory.
Contacts
- 		François BinderPartner Data and AI 
- 		Gontran PeubezPartner Data, AI and Platforms 
- 		Mohamed ZridaPartner Architecture, Data and AI 
 
					 
		 
			 
			